abstract: enviromental concerns, improvements in renewable energy technologies, governmental incentives for the use of these resources, and increased t&d; costs, are the main factors driving the energy sector into a new era, where considerable portions of electrical demand will be met through widespread installation of distributed energy resources (ders). the virtual power plant (vpp) is a dece...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...

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Advanced queries that combine spatial constraints with textual relevance to retrieve objects of interest have attracted increased attention recently due to the ever-increasing rate of user-generated spatio-textual data. Motivated by this trend, in this paper, we study the novel problem of parallel and distributed processing of spatial preference queries using keywords, where the input data is s...

Current keyword extraction methods often use statistical models to select certain words from a set of documents, which fail to take advantage of the information available in the documents themselves. We propose a model for identifying semantic relationships between words in a document to identify keywords that more accurately capture the meaning of the document. Specifically, we use distributed...